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Updated weekly · Last refresh Oct 16

Hermes Corporate Data Engineer Interview Questions

The questions to prepare for a Hermes Corporate Data Engineer interview. Questions from real interview reports rank first. Updated daily.

17questions
~2htotal time
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1
PipelinesStart here. 7 questions · ~56 min
Scaling for Increased VolumeHard

Tests scalability planning and execution under growing data demands.

system designscalabilityHermes Corporate
Designing a Complex Data ArchitectureHard

Tests end-to-end system design depth, scalability, and maintainability.

system designdata architectureHermes Corporate
Distributed Computing FrameworksMedium

Tests experience designing and running distributed data processing systems.

distributed computingdata processingFrameworksHermes Corporate
Ensuring Data QualityMedium

Tests data validation, monitoring, and integrity controls in production pipelines.

Data Qualitydata integrityPipelinesHermes Corporate
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2
Behavioral & Leadership7 questions · ~56 min
Python Testing and CollaborationMedium

Evaluates Python engineering practices, testing mindset, and collaboration and communication skills.

CommunicationcollaborationHermes Corporate
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3
More topics3 questions · ~24 min
SQL vs NoSQL Trade-offsMedium

Tests database architecture reasoning and trade-off analysis for real workloads.

logisticsdatabase architectureHermes Corporate
Solving a Challenging Coding ProblemMedium

Tests problem-solving ability and coding fundamentals relevant to data engineering.

project experiencecoding challengeProblem SolvingHermes Corporate
Optimizing Complex SQLMedium

Tests SQL performance tuning skills for large-scale data workloads.

large datasetsHermes Corporate

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Rolling Average with SQL WindowsMedium
Practice
Practice drill

Calculate each active RpmGlobal Enterprise Planning user's 30-day rolling average of daily activity.

TavantRpmglobalTwo Six Technologies
Scenario-Based Business CaseHard
Practice
Practice drill

Aggregate project outcomes and present a defensible SQL-based business case analysis.

project experienceJoinsbusiness problemTikTok
Optimize Large SQL QueryHard
Practice
Practice drill

Optimize a billion-row AWS query by reducing scanned data, pre-aggregating requests, and preserving daily performance metrics.

Performance Tuningdatabase optimizationdata processingAmazon Web Services
The finish line: interview-readyComplete all 17 questions plus 3 hands-on drills to finish this plan.